# -*- coding: utf-8 -*- import cv2 import numpy as np skeleton = [[15, 13], [13, 11], [16, 14], [14, 12], [11, 12], [5, 11], [6, 12], [5, 6], [5, 7], [6, 8], [7, 9], [8, 10], [1, 2], [0, 1], [0, 2], [1, 3], [2, 4], [3, 5], [4, 6]] pose_kpt_color = [[51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0]] pose_link_color = [[0, 255, 0], [0, 255, 0], [255, 128, 0], [255, 128, 0], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255]] def imshow_keypoints(img, pose_result, kpt_score_thr=0.1, radius=2, thickness=2): """Draw keypoints and links on an image. Args: img (ndarry): The image to draw poses on. pose_result (list[kpts]): The poses to draw. Each element kpts is a set of K keypoints as an Kx3 numpy.ndarray, where each keypoint is represented as x, y, score. kpt_score_thr (float, optional): Minimum score of keypoints to be shown. Default: 0.3. thickness (int): Thickness of lines. """ img_h, img_w, _ = img.shape img = np.zeros(img.shape) for idx, kpts in enumerate(pose_result): if idx > 1: continue kpts = kpts['keypoints'] # print(kpts) kpts = np.array(kpts, copy=False) # draw each point on image assert len(pose_kpt_color) == len(kpts) for kid, kpt in enumerate(kpts): x_coord, y_coord, kpt_score = int(kpt[0]), int(kpt[1]), kpt[2] if kpt_score < kpt_score_thr or pose_kpt_color[kid] is None: # skip the point that should not be drawn continue color = tuple(int(c) for c in pose_kpt_color[kid]) cv2.circle(img, (int(x_coord), int(y_coord)), radius, color, -1) # draw links for sk_id, sk in enumerate(skeleton): pos1 = (int(kpts[sk[0], 0]), int(kpts[sk[0], 1])) pos2 = (int(kpts[sk[1], 0]), int(kpts[sk[1], 1])) if (pos1[0] <= 0 or pos1[0] >= img_w or pos1[1] <= 0 or pos1[1] >= img_h or pos2[0] <= 0 or pos2[0] >= img_w or pos2[1] <= 0 or pos2[1] >= img_h or kpts[sk[0], 2] < kpt_score_thr or kpts[sk[1], 2] < kpt_score_thr or pose_link_color[sk_id] is None): # skip the link that should not be drawn continue color = tuple(int(c) for c in pose_link_color[sk_id]) cv2.line(img, pos1, pos2, color, thickness=thickness) return img